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Mendeley readers
Chapter title |
Cross-Domain Recommendation via Cluster-Level Latent Factor Model
|
---|---|
Chapter number | 11 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-40991-2_11 |
Book ISBNs |
978-3-64-240990-5, 978-3-64-240991-2
|
Authors |
Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo, Gao, Sheng, Luo, Hao, Chen, Da, Li, Shantao, Gallinari, Patrick, Guo, Jun |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Hong Kong | 1 | 1% |
United States | 1 | 1% |
Luxembourg | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 64 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 41% |
Student > Master | 12 | 18% |
Student > Bachelor | 3 | 4% |
Student > Doctoral Student | 2 | 3% |
Other | 2 | 3% |
Other | 8 | 12% |
Unknown | 13 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 40 | 59% |
Business, Management and Accounting | 4 | 6% |
Engineering | 3 | 4% |
Decision Sciences | 2 | 3% |
Medicine and Dentistry | 1 | 1% |
Other | 1 | 1% |
Unknown | 17 | 25% |